Description
Data Science Math Skills is a course on data science math skills published by Udemy Academy. Data science courses contain mathematics. This course is designed to teach learners the foundational mathematics you need to succeed in almost any data science math course, and is designed for learners who have basic math skills but may not have studied algebra or pre-calculus. Data Science Math Skills introduces the core mathematics on which data science is built, without overcomplicating it, introducing unfamiliar ideas and mathematical symbols all at once. While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the “Mastering Data Analysis in Excel” course, which is part of the Excel to MySQL Data Science specialization. . Learners who master data science math skills will be well-prepared for success with the more advanced math concepts introduced in “Mastering Data Analysis in Excel.”
What you will learn
- Set theory, including Venn diagrams
- Properties of the real number line
- Interval marking and algebra with inequalities
- Used for sigma summation and marking.
- Mathematics in Cartesian plane formulas (x,y), slope and distance
- Drawing and describing functions and their inverses in the xy plane,
- The concept of instantaneous rate of change and tangent lines to a curve
- Exponents, logarithms, and the natural log function.
- Probability theory, including Bayes’ theorem.
Who is this course suitable for?
Data Science Math Skills Course Details
- Publisher: Coursera
- Instructor: Daniel Egger
- Language: English
- Education level: Elementary
- Number of lessons: 5
- Training duration: Approximately 13 hours to complete the course
Data Science Math Skills Course Topics
Course prerequisites
- No prior experience required
Pictures
Sample video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
File size
477 MB
